Fabio Cermelli

MiB. Official code for Modeling the Background for Incremental Learning in Semantic Segmentation https://arxiv.org/abs/2002.00718

WILSON. Official implementation of "Incremental Learning in Semantic Segmentation from Image Labels"

CoMFormer. Official implementation of "CoMFormer: Continual Learning in Semantic and Panoptic Segmentation"

FSS. Prototype-based Incremental Few-Shot Semantic Segmentation

MMA. Modeling Missing Annotations for Incremental Learning in Object Detection

MiBv2. New Modeling The Background CodeBase

EWC. OnlineEWC and EWC++ implementations, the online versions of Elastic weight consolidation

RobotChallenge. Jupyter Notebook

ICL. Incremental Class Learning project

Multi-Domain-Learning. Python

fcdl94.github.io. [Check the website](http://fcdl94.github.io)

visda-2019-public. Python

CodebaseSemSeg. Jupyter Notebook

RL_methods. In this repository I will experiment with some well-known RL methods.

SPNet. Semantic Projection Network for Zero- and Few-Label Semantic Segmentation

BiseNetv1. Code for BiseNetV1

Mask2Former. Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

MECHack. Python

SSD. Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.

UDA. This repo contains the code of some methods of unsupervised domain adaptation

detectron2. Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

awesome-zero-shot-learning. A curated list of papers, code and resources pertaining to zero shot learning

1-stage-wseg. Single-Stage Semantic Segmentation from Image Labels (CVPR 2020)